Claude Opus 4.7 is a frontier language model released by Anthropic on April 16, 2026, designed for advanced software engineering, long-horizon agentic tasks, and complex enterprise workflows. As the most capable generally available model in the Claude 4 family, it introduces significant improvements in instruction following and self-verification. While it remains less powerful than the restricted Claude Mythos class, Opus 4.7 is optimized for autonomous tasks that previously required close human supervision, demonstrating high performance on benchmarks like SWE-bench.
Adaptive Reasoning and Effort Levels
A central feature of this model is Adaptive Reasoning (or Adaptive Thinking), which allows the system to scale its internal compute based on the difficulty of a prompt. At the Max Effort setting, the model prioritizes extreme rigor and consistency, making it suitable for high-stakes coding and financial analysis where accuracy is more critical than latency. This reasoning process allows the model to plan multi-step solutions and verify its own logic before providing a final response. Developers can control this behavior using specific effort parameters (e.g., 'high', 'xhigh', and 'max') to balance intelligence and token spend.
Context and Technical Specifications
The model features a 1-million token context window and supports an expanded output limit of up to 128,000 tokens. It utilizes a refined tokenizer that enhances performance across technical domains, though it may increase the total token count by up to 35% for certain types of content compared to previous 4.x models. Vision capabilities have also been substantially upgraded, with support for high-resolution images up to 3.75 megapixels (2576px), enabling more precise analysis of dense documents, charts, and user interfaces.
Prompting and Implementation
When utilizing Adaptive Reasoning modes, traditional sampling parameters such as temperature, top_p, and top_k are deprecated; providing non-default values for these will result in API errors. Anthropic recommends using the new 'task_budget' and 'effort' parameters to guide the model's reasoning depth. Additionally, the model includes advanced cybersecurity safeguards and is the primary vehicle for Anthropic's Cyber Verification Program, which allows authorized security professionals to use the model for vulnerability research and red-teaming.